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Scale AI Stock (SCAI)
Scale AI offers data labeling services to transform raw data into high-quality training datasets for machine learning models. They combine human-in-the-loop labeling with AI-powered automation, aiming to improve efficiency and accuracy. Scale AI has provided data labeling services for companies like OpenAI and Airbnb.
Scale is an API for training data, providing access to human-powered data for a multitude of use cases.
About Scale AI Stock
Founded
2013
Headquarters
San Francisco, CA, US
Total Funding
28.6B
Industries
Software, Data and Analytics, Science and Engineering
Scale AI is a data-labeling startup that specializes in helping companies curate data for artificial intelligence applications. Scale AI's core offerings include data generation and labeling, model evaluation, foundation model fine-tuning, and enterprise platforms that integrate customer data into advanced generative AI models, all aimed at supporting the end-to-end machine learning lifecycle. The company’s stated mission is to accelerate AI development by delivering better data and enabling faster deployment of performance AI models for a wide range of clients.
Scale AI Press Mentions
Stay in the know about the latest news on Scale AI
Image Tagging Market to Reach US$5,335.4 Mn by 2033, Growing at 14.6% CAGR Driven by AI and Computer Vision
einpresswire • Jun 23, 2026
Meta's Cred deal showcases new playbook: take stake, hire the founder
economictimes • Jun 23, 2026
‘It’s literally the gulag’: inside the revolt at Meta’s AI unit, where elite engineers were drafted to label data
thenextweb • Jun 19, 2026
Reinforcement Learning: Learning by Doing
sapphireventures • Jun 18, 2026
Meta’s $14.3B AI Bet Hits a Training Data Wall: Zuckerberg Admits Mistakes
techtimes • Jun 18, 2026
Investors in Scale AI
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Scale AI Management
Leadership team at Scale AI
Interim CEO & Chief Strategy Officer
Jason Droege
Head of Research
Bing Liu
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Scale AI Key Facts
- Revenue Growth and Financial Health: Scale AI has demonstrated robust financial performance. While the company is reported to have missed revenue and profit targets in 2024, revenue reportedly grew to $870 million by the end of 2024, or 160% revenue growth. In January 2026, Scale claimed it had its strongest financial year in 2025 with more than $1 billion in new business and nearly half of new bookings coming in the fourth quarter. This growth, driven by the demand for data to train large language models, reinforces its position as a dominant player in the AI ecosystem.
- Engaging in Areas of Opportunity: Scale AI has made strategic moves to increase the scope of applicability on its solutions. For example, the company pivoted from its initial focus on data primarily for text and vision models to the new frontier of Physical AI and robotics. In September 2025, the company announced it is providing a comprehensive data engine that collects and annotates the high-quality datasets needed to train foundation models for humanoid robots and other autonomous systems. The company’s recently announced partnership with Universal Robots further evidences this approach. This initiative expands its addressable market and helps to position the company at the forefront of the next wave of AI innovation.
- Strategic Partnerships: Current and previous collaborations with entities like Meta and the Department of Defense, as well as partnerships with industry leaders in autonomous vehicles, healthcare AI, and retail analytics, underscore Scale AI's market influence and ability to drive industry standards in data annotation and AI model training.
- Competitive Landscape: Rivalry from companies like Labelbox, Appen, and Amazon Mechanical Turk, which offer scalable data labeling solutions and AI training data services, poses a direct challenge to Scale AI's market expansion and customer acquisition efforts.
- Layoffs and Client Sentiment: The company has undergone a series of significant layoffs, including a 14% workforce reduction in July 2025 that impacted 200 full-time employees and 500 contractors. These cuts, following a multibillion-dollar investment from Meta, have led to concerns among key clients about potential conflicts of interest and data security. Major partners like Google were reported to have begun exploring alternative vendors, creating a risk of significant customer churn.
- Legal Battle Over Trade Secret Theft: Scale AI is involved in a federal lawsuit against its rival, Mercor, which Scale AI accuses of stealing trade secrets and customer information. The lawsuit, filed in September 2025, alleges that a former Scale AI employee downloaded over 100 confidential documents and shared them with Mercor while still employed at Scale AI. This legal battle is an operational and reputational risk as it highlights the vulnerability of the company's proprietary data and could damage its brand image as a trusted data partner.
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